IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v103y1999i3d10.1023_a1021792225922.html
   My bibliography  Save this article

Convergence Rates of the Hilbert Uniqueness Method via Tikhonov Regularization

Author

Listed:
  • S. Kindermann

    (Johannes Kepler University Linz)

Abstract

In this paper, we identify the Hilbert uniqueness method for a boundary control problem with the calculation of the pseudo inverse. Because of its ill-posedness, we approximate it by a regularized Hilbert uniqueness method, which we prove to be identical with Tikhonov regularization. By this equivalence, we can find sufficient conditions for convergence and convergence rates, which require approximation rates in Müntz spaces. We show that these conditions are fulfilled by an a priori bound in Sobolev norms on the exact solution.

Suggested Citation

  • S. Kindermann, 1999. "Convergence Rates of the Hilbert Uniqueness Method via Tikhonov Regularization," Journal of Optimization Theory and Applications, Springer, vol. 103(3), pages 657-673, December.
    • Handle: RePEc:spr:joptap:v:103:y:1999:i:3:d:10.1023_a:1021792225922
    DOI: 10.1023/A:1021792225922
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1021792225922
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1021792225922?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Enrique Fernández-Cara & Arnaud Münch, 2014. "Numerical Exact Controllability of the 1D Heat Equation: Duality and Carleman Weights," Journal of Optimization Theory and Applications, Springer, vol. 163(1), pages 253-285, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joptap:v:103:y:1999:i:3:d:10.1023_a:1021792225922. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.